multichoice-question-generator
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1787
Model description
More information needed
Intended uses & limitations
This is an early version of a model meant to generate multichoice questions from text
Link to sample usage guide
https://github.com/Gach-omba/Multichoice-question-generation/blob/main/sample_usage.ipynb
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2218 | 1.0 | 1000 | 0.1910 |
| 0.1913 | 2.0 | 2000 | 0.1811 |
| 0.1727 | 3.0 | 3000 | 0.1787 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
- Downloads last month
- 18
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Gachomba/multichoice-question-generator
Base model
facebook/bart-large